Urban Stream Suburban Stream Forested Stream (part of a county park system) Baltimore Data Collection Sites

Data from three sites… Forested Urban Suburban

ForestedUrbanSuburban Where would you expect to find the saltiest water? population density: 8050 people per square mile population density: 3000 people per square mile population density: 0 people per square mile

ForestedUrbanSuburban Where would you expect to find the least salty water? population density: 8050 people per square mile population density: 3000 people per square mile population density: 0 people per square mile

How would you test these predictions? Look at your dataset for guidance.

Dr. Sujay Kaushal’s Research Dr. Kaushal analyzed data from streams near Baltimore considered to be urban, suburban, and forested. He analyzed samples during each season to determine how salt levels changed. He was lucky. The dataset was enormous, going back over 30 years. You are only looking at a subset of the data he and colleagues analyzed. Salt near storm drain Baltimore area stream

Seasonal Salt Levels in a Forested Baltimore Area Stream YearSeasonAverage Salt Content mg/Liter 2005 winter 2.71 spring 2.64 summer 2.79 fall winter 2.43 spring 2.62 summer 2.77 fall winter 2.69 spring 2.72 summer 3.18 fall winter 2.83 spring 2.69 summer 3.10 fall winter 3.10 spring 2.92 summer 3.11 fall winter 2.82 spring 2.81

Seasonal Salt Levels in a Suburban Baltimore Area Stream YearSeasonAverage Salt Content mg/Liter 2005 winter spring summer fall winter spring summer fall winter spring summer fall winter spring summer fall winter spring summer fall winter spring

Seasonal Salt Levels in an Urban Baltimore Area Stream YearSeasonAverage Salt Content mg/Liter 2005 winter spring summer fall winter spring summer fall winter spring summer fall winter spring summer fall winter spring summer fall winter spring

What is the best way to represent the data in order to compare the different data sets?

Who made more money?

Who Really Made More Money?

Why is it important to choose an appropriate scale for your data?